Development and validation of a screening instrument to identify cardiometabolic predictors of mortality in older individuals with cancer: Secondary analysis of the Australian Longitudinal Study of Ageing (ALSA)

External validation of a model to identify cardiometabolic predictors of mortality in cancer survivors

PURPOSE

Cancer survivors are at risk of cardiovascular disease because of shared risk factors and effects of treatment. There are few tools to assist in estimating the risk of poor outcomes relating to cardiovascular disease in cancer survivors and identifying those at risk. The purpose of this study was to externally validate a model for predicting the risk of increased mortality in female cancer survivors.

METHODS

A risk prediction model originally developed using data from the general population of older adults from the Australian Longitudinal Study of Ageing was externally validated using data from two Australian Longitudinal Study on Women's Health (ALSWH) cohorts. Three measures of discrimination were calculated. Calibration was assessed by visualising a graph of the model predictions and observed events.

RESULTS

The ALSWH cohorts consisted of 1764 women (aged 73-78 years) and 1833 women (aged 47-52 years). Discrimination was acceptable with the Harrell C-index and the Gonen and Heller K statistic both greater than 0.5. The model explained up to 30% of the variation in mortality. Calibration showed that the recalibrated model performed best in years 8-10 suggesting that the model is better at predicting survival for those with a higher probability of surviving. Overall, model performance was better in the 47-52 years cohort than in the older cohort.

CONCLUSION

We have externally validated a model of cardiometabolic predictors of mortality in female cancer survivors. The model can serve as a basis of clinical tool to assist with decision-making regarding potential risk reduction strategies in this population.

Impact of health-related stigma on psychosocial functioning in cancer patients: Construct validity of the stigma-related social problems scale

OBJECTIVE

The aim of this study was to evaluate the validity of Stigma-related Social Problems scale (SSP) in a cancer population.

MATERIALS AND METHODS

The SSP was sent to 1,179 cancer patients. Mean age was 67.9 year and 43% were women. Tests of internal consistency reliability, construct validity, item-scale convergent validity, ceiling and floor effects and known-group validity were conducted.

RESULTS

The response rate was 62%, and the final sample comprised 728 patients. Reliability coefficients were high for both subscales (Cronbach's alpha = 0.94). Exploratory factor analyses confirmed the unidimensionality and homogeneity of the scales. Item-scale correlations for both scales indicated satisfactory item-scale convergent validity. The proportion of subjects scoring at the lowest possible score level was 26% for the Distress scale and 28% for the Avoidance scale, while ceiling effects were marginal (<1%). The proportion of missing items was low, ranging from 1.4% to 1.5%. Known-group validity tests confirmed that the scales could capture expected differences between subgroups.

CONCLUSIONS

The SSP scale is a feasible instrument with sound psychometric properties that is validated in a study on 728 cancer patients. The instrument can be used to identify cancer patients at risk for psychosocial disturbances and thus in need of support.